robotics
The Robot Learned the Difference Between a Command and a Refusal
A compact body-and-hand model recognizes invitations, refusals and unavailability in real time, then saves uncertain encounters for later adaptation.
Summary
A compact body-and-hand model recognizes invitations, refusals and unavailability in real time, then saves uncertain encounters for later adaptation.
SocioGesture combines confidence-aware body and hand skeleton streams and trains with simulated occlusion so missing hands or unstable keypoints do not add inference cost. On a mixed indoor-outdoor dataset, the authors report strong held-out-subject recognition and improved robustness under structured joint occlusion while running on a robot-mounted edge device. Uncertain segments are retained for offline labeling and vocabulary expansion. The results cover the collected gesture set, not unrestricted social understanding.
Why it matters
A compact body-and-hand model recognizes invitations, refusals and unavailability in real time, then saves uncertain encounters for later adaptation.
Limits and context
- SocioGesture combines confidence-aware body and hand skeleton streams and trains with simulated occlusion so missing hands or unstable keypoints do not add inference cost.
- The results cover the collected gesture set, not unrestricted social understanding.
Key claims
A compact body-and-hand model recognizes invitations, refusals and unavailability in real time, then saves uncertain encounters for later adaptation.
Qualification: SocioGesture combines confidence-aware body and hand skeleton streams and trains with simulated occlusion so missing hands or unstable keypoints do not add inference cost.
Evidence: source-2026-09-07-008
Sources
- arXiv preprint 2609.04545arXiv · primary research
Corrections
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